Computer-Intensive Statistics and Applications
Uppsala University
Uppsala
Start date:
End date:
Pace of study: 67 %
Published education catalogue
Computer-Intensive Statistics and Applications
Education information from the published source. The education record and its time-bound offerings are kept separate.
Education facts
Code: 1MS049
Random number generators and simulation of random objects, Monte Carlo. Estimation techniques like Kernel estimation. EM algorithms. Applications within data science/finance/statistics. The course contains an applied project with a specialization within one of the following areas: Financial mathematics, data science or statistics.
Entry requirements
120 credits including 60 credits mathematics and/or data science with at least 45 credits mathematics. Participation in one of the courses Regression analysis, Introduction to data science or Financial Derivatives. Proficiency in English equivalent to the Swedish upper secondary course English 6.
Education offerings
Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.
Source and updates
Retrieved: .
Published: .
Show source version
Publication version: 8e217193-f5fa-4778-b085-a4521fd03e8d
Checksum: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c
Last changed according to the source: 2026-03-09T12:14:18